Evidence map›Paper›PMID 18950739›Full record

ArticleAmerican journal of human genetics2008

The Human Phenotype Ontology: a tool for annotating and analyzing human hereditary disease.

Peter N Robinson, Sebastian Köhler, Sebastian Bauer, Dominik Seelow, Denise Horn, Stefan Mundlos

Abstract read
In one paragraph

Article in American journal of human genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 563 papers.

0numbers the graph read from it
0cells of the map it votes in
563citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

563 citing papers in PubMed.

  1. Review
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  3. Observational
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  5. Obtaining a Diagnostic Yield via Scan findings prior to the introduction of SEquencing retrospectivelY (ODYSSEY): a cohort study.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2026
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  6. Review
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  9. Novel Compound Heterozygous Variants in SLC13A3 Associated With ARLIAK: A Case Report and Review of the Literature.International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience · 2026
    Review
  10. Article
  11. Article
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  13. Article
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  15. Article
  16. Review
  17. PheBee: A Graph-Aware System for Scalable, Traceable, and Semantic Phenotyping.medRxiv : the preprint server for health sciences · 2026
    Article
  18. Mainstreaming genomic testing for mitochondrial disease in Australia.European journal of human genetics : EJHG · 2026
    Article
  19. Article
  20. Article

503 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Peter N RobinsonInstitute for Medical Genetics, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany. peter.robinson@charite.de
Sebastian Köhler
Sebastian Bauer
Dominik Seelow
Denise Horn
Stefan Mundlos

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are many thousands of hereditary diseases in humans, each of which has a specific combination of phenotypic features, but computational analysis of phenotypic data has been hampered by lack of adequate computational data structures. Therefore, we have developed a Human Phenotype Ontology (HPO) with over 8000 terms representing individual phenotypic anomalies and have annotated all clinical entries in Online Mendelian Inheritance in Man with the terms of the HPO. We show that the HPO is able to capture phenotypic similarities between diseases in a useful and highly significant fashion.

Indexed as

Databases, GeneticGenetic Diseases, InbornPhenotypeComputational BiologyHumansSoftware

Identifiers

PMID18950739
PMCPMC2668030

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.